迭代點的英文

迭代: iteration
點: drop
迭代: [數(shù)學(xué)] [自動化] iteration◇迭代操作 iterative operation; 迭代插值法 [數(shù)學(xué)] iterated-interpolation method; 迭代程序設(shè)計 iterative programming; 迭代除法 [自動化] iterative division; 迭代法 [數(shù)學(xué)] (逐次逼近法) iterative [iteration] method; 迭代反復(fù) iterative repetition; 迭代公式 iterative formula; 迭代過程 iteration [iterative] process; 迭代積分 (累次積分) iterated integral; 迭代計算 [數(shù)學(xué)] iterative computation; 迭代計算法 [數(shù)學(xué)] iterative computing method; 迭代加法 [數(shù)學(xué)] iterative addition; 迭代漸近法 [數(shù)學(xué)] iterative method; 迭代解 [數(shù)學(xué)] iterative solution; 迭代控制算法 iterative control algorithm; 迭代例行程序 [自動化] iterative routine; 迭代題 iterative problem; 迭代循環(huán) [數(shù)學(xué)] iterative loop; 迭代因子 iteration [repetition] factor; 迭代語句 iterative statement; 迭代陣列 [自動化] iterative array; 迭代指令 iterative instruction
反迭代, 逆迭代: inverse iteration
班迭代: banteay dek

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The smaller the value of the merit function is , the closer the iteration point is to the solution
當(dāng)價值函數(shù)的值越小時，迭代點越靠近最優(yōu)解。
This algorithm allows the search direction with only moderate accuracy , and does not require the feasibility of the iteration points
該算法允許搜索方向有相對較大的誤差，且不要求迭代點的可行性。
The main task of traditional methods is to construct iterative points and that of parameter control methods is to find a sequence of parameters
傳統(tǒng)算法的關(guān)鍵是構(gòu)造迭代點，而參數(shù)控制算法的關(guān)鍵是構(gòu)造參數(shù)序列。
Without the strict feasibility of the initial points and iteration points , the algorithm is shown to possess both polynomial - time complexity and q - linear convergence
該算法不要求初始點及迭代點的可行性且具有q -線性收斂速度和多項式時間復(fù)雜性。
The basic idea is to find iterative points which converge to optimal point and its corresponding objective function or merit function values converge to optimal value
其基本思想是構(gòu)造迭代點來逐步逼近最優(yōu)點，相應(yīng)的目標(biāo)函數(shù)值或評價函數(shù)值逼近最優(yōu)值。

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